4 дня назад
Software Engineer - Research Data Platform (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer - Research Data Platform (AI): Building scalable data schemas, storage systems, and typed APIs for biological datasets that power AI models and user-facing tools with an accent on high-performance storage, complex biological data structures, and data accessibility. Focus on optimizing distributed storage and database queries, designing programmatic interfaces for researchers and AI agents, and implementing validation, versioning, and access control.
Location: Paris or remote within the EU
Company
is a Paris-headquartered startup building a universal AI foundation model for biology to accelerate biomedical discovery.
What you will do
- Design, implement, and maintain scalable data schemas and storage solutions for high-performance AI workloads.
- Benchmark and optimize distributed storage through chunking, compression, parallelization, and custom solutions.
- Build production-ready data systems and typed, documented APIs for researchers, engineers, and AI agents.
- Monitor and optimize database queries, storage paths, data pipelines, and cloud infrastructure costs.
- Collaborate with researchers, product engineers, and platform engineers to deliver projects end to end.
- Implement data validation, testing, versioning, and access control.
Requirements
- Deep, production-level Python expertise and a focus on clean, maintainable code.
- Hands-on experience with Pydantic, SQLAlchemy, Alembic, object storage abstractions, and FastAPI or similar frameworks.
- Expertise with relational databases such as PostgreSQL, including schema design, indexing, and query optimization.
- Experience designing APIs and exposure to programmatic or agent-access protocols such as the Model Context Protocol.
- Ability to treat data infrastructure as a product and make it accessible to non-technical users.
- Independent, curious, detail-oriented, and collaborative approach to software development.
Nice to have
- Experience with biological data formats or biotech and health-tech environments.
- Experience with xarray, Zarr, TileDB, TIFF, or other distributed array storage formats.
- Experience with Dagster, Airflow, Prefect, or database-backed work queues.
- Frontend, visualization, or data-exploration experience.
- Experience working autonomously in fast-paced startup environments.
Culture & Benefits
- Mission-driven work at the intersection of biology and AI.
- Opportunity to grow a data platform supporting cancer biology research.
- Competitive salary and equity package.
- Flexible work arrangements with remote options.
- Inclusive and equal-opportunity work environment.
Hiring process
- 30-minute recruiter call followed by a 30-minute hiring-manager discussion.
- System-design interview, take-home project, and assignment presentation with technical Q&A.
- Executive interview, reference check, offer, and onboarding.
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